Fuzzy logic and its engineering applications

Author: Timothy J. Ross, USA
Publisher:
Publication Date: 2001-10-01
Features: This book introduces the fundamentals of fuzzy logic and various approximate solution methods for problems in engineering and scientific fields using concise language and mathematical approaches. The content includes classical sets and fuzzy sets, classical fuzzy relations, membership functions and their derivation, the transformation from fuzzy to clear, and fuzzy algorithms. Considering that fuzzy nonlinear simulation has developed as a precursor to fuzzy control, the author applies the basic knowledge from the early chapters to practical problems in fields such as fuzzy decision-making, fuzzy classification, fuzzy pattern recognition, and fuzzy control. The last two chapters provide in-depth introductions to other aspects such as fuzzy linear regression, optimization, and discuss fuzzy measurement issues including confidence, likelihood, possibility, and probability. Each chapter concludes with a summary, references, and practical problems collected from various engineering projects.
This book can serve as a textbook for undergraduate and graduate students in the field of automatic control, as well as a reference for engineering technicians in related disciplines.